Taner Danışman

413 total citations
15 papers, 84 citations indexed

About

Taner Danışman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Taner Danışman has authored 15 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Taner Danışman's work include Video Analysis and Summarization (3 papers), Face and Expression Recognition (3 papers) and AI in cancer detection (2 papers). Taner Danışman is often cited by papers focused on Video Analysis and Summarization (3 papers), Face and Expression Recognition (3 papers) and AI in cancer detection (2 papers). Taner Danışman collaborates with scholars based in Türkiye and France. Taner Danışman's co-authors include Ioan Marius Bilasco, Jean Martinet, Yiğit Ali Üncü, Adil Alpkoçak, Hasan Özdoğan, Melih Günay, Evgin Göçeri, Tayup Şimşek, Uğur Bilge and Murat Canpolat and has published in prestigious journals such as Expert Systems with Applications, Signal Processing and Multimedia Tools and Applications.

In The Last Decade

Taner Danışman

14 papers receiving 79 citations

Peers

Taner Danışman
Olivia Wiles United Kingdom
Davide Testuggine United States
Bin Dong China
Jacqueline Pan United Kingdom
Quinn Jones United States
Olivia Wiles United Kingdom
Taner Danışman
Citations per year, relative to Taner Danışman Taner Danışman (= 1×) peers Olivia Wiles

Countries citing papers authored by Taner Danışman

Since Specialization
Citations

This map shows the geographic impact of Taner Danışman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Taner Danışman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taner Danışman more than expected).

Fields of papers citing papers by Taner Danışman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taner Danışman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Taner Danışman. The network helps show where Taner Danışman may publish in the future.

Co-authorship network of co-authors of Taner Danışman

This figure shows the co-authorship network connecting the top 25 collaborators of Taner Danışman. A scholar is included among the top collaborators of Taner Danışman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taner Danışman. Taner Danışman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Üncü, Yiğit Ali, Taner Danışman, & Hasan Özdoğan. (2025). Predicting (n,3n) nuclear reaction cross-sections using XGBoost and Leave-One-Out Cross-Validation. Applied Radiation and Isotopes. 219. 111714–111714. 6 indexed citations
2.
Öğüt, Tahir, et al.. (2025). Effectiveness of artificial intelligence in classification of connective tissue diseases in patients with anti-nuclear antibody (ANA) positivity. Computational Biology and Chemistry. 120(Pt 1). 108679–108679.
3.
Canpolat, Murat, et al.. (2022). The detection of cervical neoplasia via optical ımaging: a pilot clinical study. Archives of Gynecology and Obstetrics. 306(2). 433–441. 2 indexed citations
4.
Üncü, Yiğit Ali, Taner Danışman, & Hasan Özdoğan. (2022). Calculations of GDR parameters for deformed nuclei using LogitBoost classifier and artificial neural network. Modern Physics Letters A. 37(13). 9 indexed citations
5.
Danışman, Taner, et al.. (2021). The Use of Synthetic Data to Facilitate Eye Segmentation Using Deeplabv3+. 5(3). 1–10. 1 indexed citations
6.
Danışman, Taner. (2021). Bagging ensemble for deep learning based gender recognition using test-time augmentation on large-scale datasets. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(4). 2084–2100. 3 indexed citations
7.
Danışman, Taner, et al.. (2020). PREDICTING THE LOCATION OF THE UTERINE CERVICAL OS FROM 2D IMAGES WITH CNN. Mühendislik Bilimleri ve Tasarım Dergisi. 8(5). 52–57. 3 indexed citations
8.
Danışman, Taner. (2020). Derin Kalıntı Ağ Mimarisi Kullanarak Portre Görüntülerinin Bölütlenmesi. Deu Muhendislik Fakultesi Fen ve Muhendislik. 22(65). 569–580. 2 indexed citations
9.
Günay, Melih, Evgin Göçeri, & Taner Danışman. (2015). Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning. 1204–1209. 9 indexed citations
10.
Danışman, Taner & Ioan Marius Bilasco. (2015). In-plane face orientation estimation in still images. Multimedia Tools and Applications. 75(13). 7799–7829. 2 indexed citations
11.
Danışman, Taner, Ioan Marius Bilasco, & Jean Martinet. (2014). Boosting gender recognition performance with a fuzzy inference system. Expert Systems with Applications. 42(5). 2772–2784. 18 indexed citations
12.
Danışman, Taner, et al.. (2012). Intelligent pixels of interest selection with application to facial expression recognition using multilayer perceptron. Signal Processing. 93(6). 1547–1556. 18 indexed citations
13.
Danışman, Taner & Adil Alpkoçak. (2007). Speech vs Nonspeech Segmentation of Audio Signals Using Support Vector Machines. 1–4. 1 indexed citations
14.
Danışman, Taner & Adil Alpkoçak. (2006). Dokuz Eylül University Video Shot Boundary Detection at TRECVID 2006. TRECVID. 9 indexed citations
15.
Alpkoçak, Adil, et al.. (2001). PAMIR: Parallel Multimedia Information Retrieval System.. 99–112. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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